Discover how easy it is to deploy machine learning models in Azure with minimal coding experience required. This session will showcase the process of creating a model from a Jupyter Notebook, testing and validating the model, logging with MLFlow and deploying it using Azure Machine Learning Studio.
We'll cover how to convert your Jupyter notebooks into reusable scripts that can be used for production and deployment in Azure, exploring GPU and CPU options with Azure's Virtual Machines.
GitHub Repo - https://github.com/Sammybams/mlsa_events
Event Slides - https://bit.ly/deploy_azureml_slide
We will explore how AI is transforming the field of design. From leveraging AI tools for efficient design solutions to creating portfolio websites using ChatGPT, this video is packed with insights, tips, and real-life examples.
Whether you're a seasoned designer or just starting in the field, you'll have gotten new perspectives, actionable strategies, and an understanding of how AI can revolutionize your design process.
Introduction (Microsoft Designer and Power Apps) slide - https://bit.ly/transforming_designs_with_ai_slide
Building a Portfolio Website slide - https://docs.google.com/presentation/d/1d_2gua7AZ7ZAgccHIyv0OQnlneGDWYP9wbJ--CID5EM/edit#slide=id.p
Leveraging AI for UI/UX slide - https://docs.google.com/presentation/d/1-JwmSoIbQdzgygmrjLDDJKLKg1t-7qTkkYIKRMLYhV8/edit
We will be exploring the journey of a payment fraud expert and how he gained domain expertise in preventing and mitigating payment fraud by working with data
We will also see a practical demo on how you can leverage Azure Automated ML to build and deploy an online payment fraud detection model.
Slide for Ivan's session on the domain - https://bit.ly/leveraging_data_for_fraud_Ivan_slide
Slide for my session on a demo of using Azure Automated ML - https://bit.ly/leveraging_data_for_fraud_slide